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license: apache-2.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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datasets: |
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- samantha-data |
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base_model: mistralai/Mistral-7B-Instruct-v0.1 |
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model-index: |
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- name: mistral_7b_samantha |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mistral_7b_samantha |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the samantha-data dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7573 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 0.03 |
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- training_steps: 100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.7235 | 0.4 | 10 | 1.8474 | |
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| 1.2154 | 0.8 | 20 | 1.7551 | |
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| 1.1009 | 1.2 | 30 | 1.6884 | |
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| 0.981 | 1.6 | 40 | 1.6751 | |
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| 0.9463 | 2.0 | 50 | 1.6704 | |
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| 0.8443 | 2.4 | 60 | 1.7248 | |
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| 0.8128 | 2.8 | 70 | 1.7101 | |
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| 0.8158 | 3.2 | 80 | 1.7826 | |
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| 0.7087 | 3.6 | 90 | 1.7805 | |
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| 0.7091 | 4.0 | 100 | 1.7573 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |